Supervised High-Level Feature Learning With Label Consistencies for Object Recognition
IEEE Transactions on Geoscience and Remote Sensing(2020)
摘要
Due to the large intraclass variances and complicated object distribution, recognizing objects with complex appearances and arbitrary orientations has been an active research topic and a challenging task in remote sensing fields. In this article, we formulate object recognition as a high-level feature-learning problem, and a novel supervised method is proposed to learn high-level feature represent...
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关键词
Feature extraction,Object recognition,Remote sensing,Machine learning,Object detection,Training,Linear programming
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